Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
In the era of big data and AI, harnessing weather data to predict, plan, and optimize various industries has become an indispensable practice. Today, we… Read More »Harnessing the power of weather data: A guide to actionable insights
New low-code approaches to machine learning pioneered by Uber, Apple, and Meta Building ML solutions from scratch is a challenge: complex low-level code and long… Read More »DSC Webinar Series – AutoML 2.0 – Control what you want, automate the rest
Training programs on generative AI are now popping up everywhere. One of my connections called it “a joke” after enrolling in such a program. Many… Read More »Fast Path to Becoming a Generative AI Technical Expert
In my last project, I had to come up with some code and algorithm to solve an interesting problem. I realized that it could lead… Read More »An Intriguing Job Interview Question for AI/ML Professionals
Machine learning has emerged as a powerful tool for organizations across industries to enhance their operational efficiency and make data-driven decisions. With the increasing reliance… Read More »You should never neglect to monitor your machine-learning models
Machine learning in Healthcare industry.
Since starting my own AI / machine learning research lab over a year ago, I published 24 technical papers and 4 books, in addition to… Read More »My 6 Best AI and Machine Learning Articles
Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications We have now entered the era when processor designers can leverage modular semiconductor… Read More »Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications
From image recognition to autonomous vehicles to predictive analytics in healthcare, artificial intelligence (AI) applications are exploding today. Taking a conscious look at the methodology… Read More »An Overview of the Role Data Plays in AI Development
Machine learning (ML) and Artificial Intelligence (AI) have been receiving a lot of public interest in recent years, with both terms being practically common in… Read More »Machine Learning (ML) vs Artificial Intelligence (AI) — Crucial Differences
